Publications

21 results for Zhiguo Li

A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder
- - Michael V. Heinz
  - George D. Price
  - et al.
- 2025
- Journal of Substance Use and Addiction Treatment
Paper
Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder
- - Cynthia I. Campbell
  - Ching-Hua Chen
  - et al.
- 2023
- JMIR
Paper
Islet autoantibody screening in at-risk adolescents to predict type 1 diabetes until young adulthood: a prospective cohort study
- - Mohamed Ghalwash
  - Vibha Anand
  - et al.
- 2023
- The Lancet Child and Adolescent Health
Paper
The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations
- - Lisa A. Marsch
  - Ching-Hua Chen
  - et al.
- 2022
- Frontiers in Psychiatry
Paper
Childhood Height Growth Rate Association With the Risk of Islet Autoimmunity and Development of Type 1 Diabetes
- - Zhiguo Li
  - Riitta Veijola
  - et al.
- 2022
- Journal of Clinical Endocrinology and Metabolism
Paper
An adaptive, data-driven personalized advisor for increasing physical activity
- - Zhiguo Li
  - Subhro Das
  - et al.
- 2019
- IEEE J-BHI
Paper
Using extreme value theory to identify railcar asymmetric wheel wear and its benefit analysis
- - Yu Cui
  - Qing He
  - et al.
- 2019
- Transport
Paper
Joint prediction of remaining useful life and failure type of train wheelsets: Multitask learning approach
- - Weixin Wang
  - Qing He
  - et al.
- 2018
- J Transp Eng Part A Syst
Paper
Data-driven optimization of railway maintenance for track geometry
- - Siddhartha Sharma
  - Yu Cui
  - et al.
- 2018
- Transp. Res. Part C Emerg. Technol.
Paper
A Personalized Pacing System for Real-Time Physical Activity Advising
- - Hung-Yang Chang
  - Zhiguo Li
  - et al.
- 2017
- CHASE 2017
Conference paper